Master Restb.ai with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Restb.ai powerful for ai real estate workflows.
Detects room types, interior/exterior features, architectural styles, views, condition, quality, and damage from property photos — outputting in RESO-standardized formats.
An MLS platform auto-populates listing fields (hardwood floors, granite countertops, stainless appliances, pool) from uploaded photos, reducing agent data entry time from 15 minutes to under 2 minutes per listing.
AI-assessed condition and quality grades for each property based on visual analysis, providing standardized scores that eliminate subjective human variation.
An appraisal management company uses condition scores to pre-screen properties, flag discrepancies between agent-reported condition and photo evidence, and reduce revision requests by 50%.
Purpose-built API released January 2026 to help appraisers meet the upcoming UAD 3.6 mandate — automatically extracts required property features from photos in the new standardized format.
An appraisal firm integrates the Feature UAD API ahead of the 2026 mandate deadline, automatically populating UAD 3.6-compliant feature fields from inspection photos and reducing compliance risk.
Computer vision-enhanced comparable property matching that considers visual features, condition, and quality — not just square footage and location — for more accurate comps.
A lender's AVM adjusts its valuation model by comparing the subject property's visual condition and finishes to the most visually similar recent sales, improving accuracy for renovated homes that traditional comps undervalue.
Automatically flags property images and videos that violate MLS guidelines, website policies, or appraisal report requirements — including watermarks, blurry photos, and non-property images.
A regional MLS with 50,000 new listings monthly automatically screens every uploaded photo, rejecting images with agent watermarks, business cards, or duplicate photos before they go live.
Auto-generates descriptive alt-text for images (boosting SEO and ADA compliance) and full property descriptions from photo analysis alone.
A real estate portal auto-generates unique alt tags for 2 million listing photos, improving search engine image indexing and meeting ADA accessibility requirements without manual effort.
Restb.ai is purpose-built for real estate with 700+ property-specific tags, RESO-standardized output formats, and the ability to analyze all of a property's images collectively. General-purpose APIs can identify 'kitchen' but can't distinguish a builder-grade kitchen from a luxury renovation or assess property condition — Restb.ai can.
Pricing has two components: a fixed monthly fee (which includes a set number of API calls) and a per-call overage fee for usage beyond that allowance. The total depends on monthly property volume, which products you need, and required requests-per-second throughput. Batch pricing is available for datasets over 1 million properties.
Restb.ai processes JPEG, PNG, PPM, GIF, TIFF, BMP, and 360-degree/equirectangular images, as well as video files. The cloud-based RESTful API returns JSON responses and typically processes individual images in under 500 milliseconds.
Yes. Restb.ai offers extensive complimentary proof-of-concept engagements where you can use their visualization tools to see the impact of their solutions on your own property data without writing any code. Contact their team to set up a PoC.
Over 100 companies including 20+ publicly traded companies and unicorns across the real estate ecosystem: MLSs, appraisal management companies, iBuyers, AVMs, insurance carriers, real estate portals, and property search platforms. The company was a HousingWire Tech100 winner in 2025.
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Tutorial updated March 2026